Data processing: artificial intelligence – Neural network
Reexamination Certificate
2011-08-23
2011-08-23
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Neural network
C703S011000, C706S025000, C706S044000
Reexamination Certificate
active
08005773
ABSTRACT:
A cortical simulator optimizing the simulation scale and time through computationally efficient simulation of neurons in a clock-driven and synapses in an event-driven fashion, memory efficient representation of simulation state, and communication efficient message exchanges.
REFERENCES:
patent: 7430546 (2008-09-01), Suri
patent: 2008/0162391 (2008-07-01), Izhikevich
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, and Steve M. Potter. 2005. Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model. In Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation (PADS '05). IEEE Computer Society, Washington, DC, USA, 16-25.
Anthony Mouraud, Helene Paugam-Moisy, and Didier Puzenat. 2006. A distributed and multithreaded neural event driven simulation framework. In Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks (PDCN'06), T. Fahringer (Ed.). ACTA Press, Anaheim, CA, USA, 212-217.
Mehrtash, N.; Jung, D.; Hellmich, H.H.; Schoenauer, T.; Lu, V.T.; Klar, H.; , “Synaptic plasticity in spiking neural networks (SP2INN): a system approach,” Neural Networks, IEEE Transactions on , vol. 14, No. 5, pp. 980-992, Sep. 2003.
B. Glackin, T.M. McGinnity, L.P. Maguire, Q.X. Wu and A. Belatreche. A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. Computational Intelligence and Bioinspired Systems Lecture Notes in Computer Science, 2005, vol. 3512/2005, 1-24.
Michiel D'Haene, Benjamin Schrauwen and Dirk Stroobandt. Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks. Artificial Neural Networks—ICANN 2006 Lecture Notes in Computer Science, 2006, vol. 4131/2006, 760-769.
Abigail Morrison, Carsten Mehring, Theo Geisel, Theo Geisel AD Aertsen, and Markus AD Diesmann. 2005. Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing. Neural Comput. 17, 8 (Aug. 2005), 1776-1801.
Abigail Morrison, AD Aertsen, and Markus Diesmann. 2007. Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Comput. 19, 6 (Jun. 2007), 1437-1467.
Izhikevich EM, Desai NS. Relating STDP to BCM. Neural Comput. Jul. 2003:15(7)1511-23.
Long and Gupta. Scalable Massively Parallel Artificial Neural Networks. American Institute of Aeronautics and Astronautics, InfoTech@Aerospace Conference, Sep. 2005. pp. 1-11.
Charles C. Peck, James Kozloski, A. Ravishankar Rao, and Guillermo A. Cecchi. 2003. Simulation infrastructure for modeling large scale neural systems. In Proceedings of the 2003 international conference on Computational science (ICCS'03), Springer-Verlag, Berlin, Heidelberg, 1127-1136.
Ananthanarayanan Rajagopal (Ananth)
Modha Dharmendra Shantilal
Holmes Michael B
International Business Machines - Corporation
Kim David H
Rogitz John L.
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